Tennenbaum Early Career Professor and
Assistant Professor

Contact

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Education

  • Ph.D Mathematics and Computer Science (2018), Eindhoven University of Technology, Netherlands
  • M. Stat. Statistics (2014), Indian Statistical Institute, India
  • B. Sc Statistics (2012), Ramakrishna Mission Residential College Narendrapur, University of Calcutta, India

About

  • Assistant Professor, Edwardson School of Industrial Engineering, Purdue University. 2023-2025
  • Postdoctoral Research Associate, Division of Applied Mathematics, Brown University. 2023-2023
  • Simons-Berkeley and PayPal Research Fellow, Simons Institute for the Theory of Computing, University of California, Berkeley. 2022
  • Schramm Postdoctoral Fellow, Department of Mathematics, Massachusetts Institute of Technology. 2019–2022
  • Schramm Postdoctoral Fellow, Microsoft Research Lab New England. 2018-2019

Research

Broad interests: Large-scale Networks, Inference and Algorithms on Networks, Stochastic Processes, High-dimensional Probability and Statistics

Specific interests: Clustering in Networks (Spectral Algorithms, Representation Learning), Spread of Epidemics/Information, Random Graphs/Matrices, Phase Transition, Graph Limits

Teaching

  • Spring 2026: ISYE-4803-Network Science

  • Fall 2025: Special Topics - ISYE-8803 - Modern Methods in Network Science

Awards and Honors

  • IMS New Researcher Travel Award 2020
  • Stieltjes Prize 2019
  • AMS-Simons Travel Award 2018

Representative Publications

  1. Multiscale genesis of a tiny giant for percolation on scale-free random graphs (2025); Shankar Bhamidi, Souvik Dhara, Remco van der Hofstad.
    Annals of Probability. 53 (4): 1331-1381.

  2. The r-to-p norm of non-negative random matrices: Asymptotic normality and entry-wise bounds (2024); Souvik Dhara, Debankur Mukherjee, Kavita Ramanan. Annals of Applied Probability 34 (6), 5076-5115.

  3. The power of two matrices in spectral algorithms (2023); Souvik Dhara, Julia Gaudio, Elchanan Mossel, Colin Sandon. IEEE Transactions on Information Theory 70 (5): 3599-3621.

  4. Limits of sparse configuration models and beyond: graphexes and multi-graphexes (2021); Christian Borgs, Jennifer T. Chayes, Souvik Dhara, Subhabrata Sen.
    Annals of Probability 49(6): 2830-2873.